·Designed and created a machine learning project in Python from scratch, including all phases of data preprocessing, feature engineering, and model selection, to contribute in Hilti’s drill designs ·Cooperated to perform data analysis tasks in one of the key processes of the company, developing different use cases. Presented the results to the business part in an efficient and communicative way ·Researched on Bayesian Additive Regression Trees and implemented it for a key dataset of the company. Presented the findings to the Data Science department

·Updated the main C# script that controlled the manufacturing process, saving time for the company every day ·Adapted and repaired an R program that controlled the leak test, which had not been possible since 2017 ·Designed and built a Grafana server to control the main statistics of the manufacturing process, managing the database with SQL. Implemented machine learning algorithms to predict graph tendencies